Taking the flexible job shop of Company H as the research object,the existence flexible flexible job shop scheduling problems is optimized by combining the scheduling data,the multi-objective optimization model is constructed and Non-dominated Sorting Genetic Algorithms Ⅱ(NSGA-Ⅱ)is used to solve the existence flexible flexible job shop scheduling problems.Comparative analysis shows that the scheduling scheme after multi-objective combination optimization has more advantageous in guiding the production scheduling.
关键词
生产调度/非支配排序遗传算法Ⅱ(NSGA-Ⅱ)/柔性作业车间
Key words
production scheduling/Non-dominated Sorting Genetic Algorithms Ⅱ(NSGA-Ⅱ)/flexible job shop
维普
万方数据